Simulation of the runoff-rainfall process in forest lands is essential for land management. In this research, a hydrologic modelling system (HEC-HMS) and artificial neural network (ANN) were applied to simulate rainfall-runoff (RRP) Kasilian watershed with an area 68 square kilometres. The HMS model was performed using secondary data rainfall discharge at climatology hydrometric stations, Soil ...

This work focused on the collection and preparation of data required for hydrological modelling Beht catchment area, which covers an area 4560 km 2 with a perimeter 414 km, by combining various spatial technologies, in particular geographical information systems (GIS), remote sensing, digital terrain models (DTM), order to prepare used flood forecasting. The methodology consists, at first, auto...

estimation of parameters of a hydrologic model is undertaken using a procedure called “calibration” in order to obtain predictions as close as possible to observed values. this study aimed to use the particle swarm optimization (pso) algorithm for automatic calibration of the hec-hms hydrologic model, which includes a library of different event-based models for simulating the rainfall-runoff pr...

The present study is an attempt to assess the impacts of climate change on water resources of the river basins of India which have immense importance in domestic, industrial agricultural and hydropower scenario. A distributed hydrological model developed from HEC-HMS was used on the Indian river basins using the projected daily precipitation and temperature data for the continuous daily range f...